Various Defect Detection Approaches in Fabric Images - A Review

Authors(3) :-M. Fathu Nisha, Dr. P. Vasuki, Dr. S. Mohamed Mansoor Roomi

Fabric defect detection is a necessary and essential step of quality control in the textile manufacturing industry. This paper has been reviewed the various fabric defect detection methods of statistical, spectral, model based and structural approaches. This paper has been presented the survey on types of defects, detection accuracy, performance metric and inference from recent publications. This paper shall benefit researchers and practitioners in image processing and computer vision fields in understanding the characteristics of the different defect detection approaches.The conclusion from this paper suggest that the pulse coupled neural network (PCNN) approach is better detection accuracy than the other methods and is suggested for further research.

Authors and Affiliations

M. Fathu Nisha
ECE, K.L.N.College of Information Technology, Madurai, Tamil Nadu, India
Dr. P. Vasuki
ECE, K.L.N.College of Information Technology, Madurai, Tamil Nadu, India
Dr. S. Mohamed Mansoor Roomi
ECE, Thiagarajar college of Engineering, Madurai, Tamil Nadu, India

Quality control; fabric Inspection; Automated Defect Detection;

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 95-100
Manuscript Number : ICASCT2516
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

M. Fathu Nisha, Dr. P. Vasuki, Dr. S. Mohamed Mansoor Roomi, " Various Defect Detection Approaches in Fabric Images - A Review", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 5, pp.95-100, May-June-2017.
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